Ab Initio Data Engineer for AI‑Driven Data Platform

Infosys

Charlotte (NC)

On-site

USD 90,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
401(k) plan
Paid holidays
PTO

Job summary

Infosys is seeking a skilled software professional to join its Financial Services unit in the United States. The role focuses on building AI-driven, scalable data solutions using PySpark, Ab Initio, SSIS, and GCP, with emphasis on incident triage, RCA, and predictive monitoring.

You will collaborate across teams to drive end-to-end SDLC, design decisions, and production support, including migration journeys and large-scale implementations. Relocation/travel may be required.

Qualifications

  • Bachelor’s degree or foreign equivalent in a related field; three years of progressive experience may be considered.
  • US work authorization is required; relocation/travel may be needed.

Responsibilities

  • Contribute to requirements elicitation by documenting parts of business requirements.
  • Facilitate application design discussions and document design decisions for the technical team.
  • Participate in coding and integrate new features into existing applications.
  • Conduct code reviews and maintain code repositories.
  • Implement test strategies, analyze results, and coordinate bug fixes.
  • Develop user training materials and support frameworks for new software.
  • Resolve production issues and suggest preventive strategies to improve reliability.
  • Maintain detailed records of code, testing, and support activities.

Skills

PySpark
Ab Initio
SSIS
Teradata
SQL
GCP
AI design
Automation
Self-healing pipelines

Education

Bachelor’s degree

Job description

Infosys is seeking a skilled software professional to join its Financial Services unit in the United States. The role focuses on building AI-driven, scalable data solutions using PySpark, Ab Initio, SSIS, and GCP, with emphasis on incident triage, RCA, and predictive monitoring.

You will collaborate across teams to drive end-to-end SDLC, design decisions, and production support, including migration journeys and large-scale implementations. Relocation/travel may be required.

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